Cardinal Update – Nov 2019

Artificial Intelligence – Predictions are the process of filling in missing information. It uses information you have (data) to generate information you don’t have. For example, A.I. is being used in radiology. It is trained with millions of old images and diagnostics. It is then given a new patient scan and gives a prediction as to whether cancer is present or not. Tests are conducted to confirm the prediction and this data is fed back into the A.I. to improve the prediction ability. This is superior to human ability due to the sheer amount of data an A.I. has accessed.

In terms of our portfolio’s exposure to A.I., under the framework of “cheap predictions” the answer is literally every company in the future will have exposure to A.I. in some way or form.

Click here to read more: Cardinal Update – November 2019